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#' @title IRCcheck: Irrepresentable Condition Check
#'
#' @description L1 regularization requires the IRC for consistent model selection, that is,
#' with more data, the true model is converged upon. This package allows
#' for checking the IRC in both regression and Gaussian graphical models.
#'
#' Importantly, the IRC cannot be checked in real data. The primary
#' use for this package is to explore the IRC in a \emph{true} model
#' that may be used in a simulation study. Alternatively, it is very
#' informative to simply look at the IRC as a function of sparsity
#' and the number of variables, including the regularization path
#' and false selections.
#'
#' @docType package
#'
#' @name IRCcheck-package
#'
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